Identification of defective areas in composite materials by bivariate EMD analysis of ultrasound

IEEE Transactions on Instrumentation and Measurement

Volumn 61, Issue 1, 2012, Pages 221-232

  Leo, Marco ^a   Looney, David ^b   D'Orazio, Tiziana ^a   Mandic, Danilo P ^b  

^a INSTITUTE OF INTELLIGENT SYSTEMS FOR AUTOMATION   (Italy)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Aerospace safety; feature extraction; neural networks; pattern recognition; ultrasonic imaging

Indexed keywords

AUTOMATIC INSPECTION SYSTEM; BEST CHOICE; BIVARIATE; BRAIN SCIENCE; COMPLEX-VALUED SIGNAL; DATA PREPROCESSING TECHNIQUE; DATA-DRIVEN ALGORITHM; EMPIRICAL MODE DECOMPOSITION; EXPERIMENTAL TEST; MOVING STRUCTURES; NOISY DATA; NON DESTRUCTIVE INSPECTION; NONLINEAR AND NON-STATIONARY SIGNALS; PHASE SYNCHRONY; PREPROCESSING TECHNIQUES; TEMPORAL SCALE; ULTRASONIC DATA; ULTRASONIC TECHNIQUES; ULTRASOUND DATA;

COMPOSITE MATERIALS; FEATURE EXTRACTION; NEURAL NETWORKS; PATTERN RECOGNITION; SIGNAL DETECTION; ULTRASONIC IMAGING; ULTRASONICS;

ULTRASONIC TESTING;

EID: 83655201451     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2011.2150630     Document Type: Article

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